Manager, Engineering - Data

Position Overview: We are looking for a talented Data Engineering Manager with over 8 years of experience in the field. The ideal candidate will have extensive expertise in big data technologies such as Apache Spark and Hadoop, and possess strong programming skills in Python. Experience with Scala is a plus. As an Engineering Manager, you will lead and mentor a team of data engineers, oversee the design and implementation of data systems, and collaborate with cross-functional teams to ensure that our data infrastructure meets the highest standards of performance and reliability. 

 
Key Responsibilities: 

• Lead, mentor and manage a team of data engineers, and tech leads. You will be responsible to build, hire and grow the team. 

• Collaborate with product managers, data analysts and other stakeholders to understand data requirements, plan and deliver high quality data solutions  

• Manage project timelines, resources, and deliverables to meet business objectives by managing all cross-functional and cross-team collaboration and dependencies 

• Design, implement, and optimize scalable data pipelines and data processing systems using big data technologies like Apache Spark and Hadoop. Ensure data quality, consistency, and security across all data systems 

• Work on relentless pursuing of goals on data coverage, data freshness, data quality and key performance & SLA metrics 

• Have high technical competence and background with track record of individual technical accomplishments - Ability to play the role of the architect for the team. 

• Drive continuous improvement by identifying and implementing best practices, tools and processes for development and execution, and champion their adoption. 

• Create clear career paths for team members and help them grow with regular coaching and mentoring; Perform regular performance evaluation and share and seek feedback. 

• Stay up-to-date with industry trends and emerging technologies to drive innovation 

Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 

• Minimum of 8 years of experience in data engineering or a related field, with at least 3 years in a managerial role. 

• Strong expertise in big data technologies including Apache Spark, Hadoop, Hive, and related tools. 

• Proficiency in programming languages such as Python and Java; experience with Scala is a plus. 

• Proven track record of designing and implementing scalable data systems and pipelines. 

• Excellent leadership, communication, and interpersonal skills. 

• Strong problem-solving and analytical abilities and a proactive approach to addressing challenges. 

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Snowflake, Redshift) is a plus.